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@ARTICLE{Jamadar:904387,
      author       = {Jamadar, Sharna D. and Zhong, Shenjun and Carey, Alexandra
                      and McIntyre, Richard and Ward, Phillip G. D. and Fornito,
                      Alex and Premaratne, Malin and Shah, N. J. and O’Brien,
                      Kieran and Stäb, Daniel and Chen, Zhaolin and Egan, Gary
                      F.},
      title        = {{T}ask-evoked simultaneous {FDG}-{PET} and f{MRI} data for
                      measurement of neural metabolism in the human visual cortex},
      journal      = {Scientific data},
      volume       = {8},
      number       = {1},
      issn         = {2052-4436},
      address      = {London},
      publisher    = {Nature Publ. Group},
      reportid     = {FZJ-2021-05957},
      pages        = {267},
      year         = {2021},
      abstract     = {Understanding how the living human brain functions requires
                      sophisticated in vivo neuroimaging technologies to
                      characterise the complexity of neuroanatomy, neural
                      function, and brain metabolism. Fluorodeoxyglucose positron
                      emission tomography (FDG-PET) studies of human brain
                      function have historically been limited in their capacity to
                      measure dynamic neural activity. Simultaneous
                      [18 F]-FDG-PET and functional magnetic resonance imaging
                      (fMRI) with FDG infusion protocols enable examination of
                      dynamic changes in cerebral glucose metabolism
                      simultaneously with dynamic changes in blood oxygenation.
                      The Monash vis-fPET-fMRI dataset is a simultaneously
                      acquired FDG-fPET/BOLD-fMRI dataset acquired from n = 10
                      healthy adults (18–49 yrs) whilst they viewed a
                      flickering checkerboard task. The dataset contains both raw
                      (unprocessed) images and source data organized according to
                      the BIDS specification. The source data includes PET
                      listmode, normalization, sinogram and physiology data. Here,
                      the technical feasibility of using opensource frameworks to
                      reconstruct the PET listmode data is demonstrated. The
                      dataset has significant re-use value for the development of
                      new processing pipelines, signal optimisation methods, and
                      to formulate new hypotheses concerning the relationship
                      between neuronal glucose uptake and cerebral haemodynamics.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34654823},
      UT           = {WOS:000707577100001},
      doi          = {10.1038/s41597-021-01042-2},
      url          = {https://juser.fz-juelich.de/record/904387},
}